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A comprehensive framework for understanding species coexistenceCoexistence is the central concept in community ecology, but an understanding of this concept requires that we study the actual mechanisms of species interactions. Coexistence in Ecology examines the major features of these mechanisms for species that coexist at different positions in complex food webs and derives empirical tests from model predictions.Mark McPeek explores the various challenges species face by systematically building a model food web, beginning with an ecosystem devoid of life and then adding one species at a time. With the introduction of each new species, he evaluates the properties it must possess to invade a community and quantifies the changes in the abundances of other species that result from a successful invasion. McPeek continues this process until he achieves a multi-trophic level food web with many species coexisting at each trophic level, from omnivores, mutualists, and pathogens to herbivores, carnivores, and basic plants. He then describes the observational and experimental empirical studies that can test the theoretical predictions resulting from the model analyses.Synthesizing decades of theoretical research in community ecology, Coexistence in Ecology offers new perspectives on how to develop an empirical program of study rooted in the natural histories of species and the mechanisms by which they actually interact with one another.

Biotic communities. --- Coexistence of species. --- Ecology. --- Abiotic component. --- Allee effect. --- Allelopathy. --- Alternative stable state. --- Apex predator. --- Autocorrelation. --- Biodiversity loss. --- Biological interaction. --- Carrying capacity. --- Cascade effect (ecology). --- Chemostat. --- Coexistence theory. --- Commensalism. --- Common Resource. --- Common species. --- Community structure. --- Competition. --- Consumer. --- Correlation does not imply causation. --- Cuisine. --- Density dependence. --- Disenchantment. --- Ecosystem. --- Environmental gradient. --- Eutrophication. --- Extinction debt. --- Fecundity. --- Food chain. --- Food web. --- Foraging. --- Functional response. --- Genetic drift. --- Habitat fragmentation. --- Herbivore. --- Heterotroph. --- Hydra effect. --- Ideal free distribution. --- Intermediate Disturbance Hypothesis. --- Interspecific competition. --- Intraguild predation. --- Intraspecific competition. --- Invasive species. --- Isocline. --- Job security. --- Key demographic. --- Keystone species. --- Limit cycle. --- Limiting factor. --- Local extinction. --- Lotka–Volterra equations. --- Metacommunity. --- Metapopulation. --- Mixed economy. --- Model organism. --- Mortality rate. --- Mutualism (biology). --- Natural selection. --- Niche differentiation. --- Nutrient. --- Observational study. --- Omnivore. --- Optimal foraging theory. --- Overexploitation. --- Pairwise comparison. --- Paradox of enrichment. --- Paradox of the plankton. --- Parasitism. --- Pathogen. --- Pest control. --- Phenotypic trait. --- Phytoplankton. --- Population cycle. --- Population dynamics. --- Population growth. --- Pragmatism. --- Predation. --- Predator satiation. --- Price controls. --- Priority effect. --- Quadrat. --- Racial segregation. --- Racism. --- Ranking (information retrieval). --- Resource depletion. --- Speciation (genetic algorithm). --- Species complex. --- Species diversity. --- Species richness. --- Storage effect. --- Subsidy. --- Superiority (short story). --- Theoretical ecology. --- Trade-off. --- Trophic cascade. --- Trophic level. --- Utilization. --- Vitamin. --- Working hypothesis. --- Zooplankton.

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An up-to-date reference book on phylogenetic methods and applications for evolutionary biologistsThe increasingly widespread availability of genomic data is transforming how biologists estimate evolutionary relationships among organisms and broadening the range of questions that researchers can test in a phylogenetic framework. Species Tree Inference brings together many of today’s leading scholars in the field to provide an incisive guide to the latest practices for analyzing multilocus sequence data.This wide-ranging and authoritative book gives detailed explanations of emerging new approaches and assesses their strengths and challenges, offering an invaluable context for gauging which procedure to apply given the types of genomic data and processes that contribute to differences in the patterns of inheritance across loci. It demonstrates how to apply these approaches using empirical studies that span a range of taxa, timeframes of diversification, and processes that cause the evolutionary history of genes across genomes to differ.By fully embracing this genomic heterogeneity, Species Tree Inference illustrates how to address questions beyond the goal of estimating phylogenetic relationships of organisms, enabling students and researchers to pursue their own research in statistically sophisticated ways while charting new directions of scientific discovery.

Phylogeny. --- Biology --- Accuracy and precision. --- Addition. --- Akaike information criterion. --- Algebraic geometry. --- Algorithm. --- Allele. --- Ammunition. --- Amplicon. --- Analysis. --- Approximation. --- Bayesian inference. --- Biological process. --- CPU time. --- Chromosome. --- Coalescent theory. --- Common descent. --- Computation. --- Computational phylogenetics. --- Conditional expectation. --- Conditional probability distribution. --- Confidence interval. --- Consideration. --- Data set. --- Detection. --- Determinant. --- East Asia. --- Effective population size. --- Empiricism. --- Error term. --- Error. --- Estimation. --- Evolution. --- F1 hybrid. --- Gene duplication. --- Gene flow. --- Gene. --- Genre. --- Graphics processing unit. --- Horizontal gene transfer. --- Hybrid (biology). --- Identifiability. --- Implementation. --- Inference. --- Introgression. --- Likelihood function. --- Linear regression. --- Lycopersicon. --- Markov chain Monte Carlo. --- Molecular evolution. --- Molecular marker. --- Monocotyledon. --- Monte Carlo method. --- NP-hardness. --- Narration. --- Network topology. --- Normal distribution. --- Nucleic acid sequence. --- Nucleic acid structure. --- Nucleotide. --- Null hypothesis. --- Order of magnitude. --- Outgroup (cladistics). --- Parameter (computer programming). --- Parameter. --- Phylogenetic network. --- Phylogenetic tree. --- Phylogenetics. --- Phylogenomics. --- Polyploid. --- Posterior probability. --- Prediction. --- Probability distribution. --- Probability. --- Pseudolikelihood. --- Quantity. --- Rational number. --- Requirement. --- Result. --- Reticulation (single-access key). --- Sample Size. --- Scalability. --- Selection bias. --- Sequence alignment. --- Shading. --- Singular value decomposition. --- Solanum. --- Speciation (genetic algorithm). --- Speciation. --- Species. --- Statistical model. --- Statistical significance. --- Statistics. --- Subset. --- Substitution model. --- Suggestion. --- Tax. --- Taxon. --- Test statistic. --- Trade-off. --- Uncertainty.